#
# This file is autogenerated by pip-compile with Python 3.9
# by the following command:
#
#    pip-compile --output-file=./etc/requirements/requirements.txt pyproject.toml
#
asttokens==2.2.1
    # via stack-data
backcall==0.2.0
    # via ipython
bqplot==0.12.39
    # via market-analy (pyproject.toml)
certifi==2023.5.7
    # via requests
charset-normalizer==3.1.0
    # via requests
colorama==0.4.6
    # via
    #   ipython
    #   tqdm
comm==0.1.3
    # via ipykernel
contourpy==1.0.7
    # via matplotlib
cycler==0.11.0
    # via matplotlib
debugpy==1.6.7
    # via ipykernel
decorator==5.1.1
    # via ipython
exchange-calendars==4.2.8
    # via
    #   market-analy (pyproject.toml)
    #   market-prices
executing==1.2.0
    # via stack-data
fonttools==4.40.0
    # via matplotlib
idna==3.4
    # via requests
importlib-metadata==6.6.0
    # via jupyter-client
importlib-resources==5.12.0
    # via matplotlib
ipykernel==6.23.2
    # via ipywidgets
ipython==8.14.0
    # via
    #   ipykernel
    #   ipywidgets
ipyvue==1.9.1
    # via ipyvuetify
ipyvuetify==1.8.10
    # via market-analy (pyproject.toml)
ipywidgets==8.0.6
    # via
    #   bqplot
    #   ipyvue
    #   market-analy (pyproject.toml)
jedi==0.18.2
    # via ipython
jinja2==3.1.2
    # via market-analy (pyproject.toml)
jupyter-client==8.2.0
    # via ipykernel
jupyter-core==5.3.0
    # via
    #   ipykernel
    #   jupyter-client
jupyterlab-widgets==3.0.7
    # via ipywidgets
kiwisolver==1.4.4
    # via matplotlib
korean-lunar-calendar==0.3.1
    # via exchange-calendars
lxml==4.9.2
    # via yahooquery
market-prices==0.10.3
    # via market-analy (pyproject.toml)
markupsafe==2.1.3
    # via jinja2
matplotlib==3.7.1
    # via market-analy (pyproject.toml)
matplotlib-inline==0.1.6
    # via
    #   ipykernel
    #   ipython
nest-asyncio==1.5.6
    # via ipykernel
numpy==1.24.3
    # via
    #   bqplot
    #   contourpy
    #   exchange-calendars
    #   market-analy (pyproject.toml)
    #   market-prices
    #   matplotlib
    #   pandas
packaging==23.1
    # via
    #   ipykernel
    #   matplotlib
pandas==2.0.2
    # via
    #   bqplot
    #   exchange-calendars
    #   market-analy (pyproject.toml)
    #   market-prices
    #   yahooquery
parso==0.8.3
    # via jedi
pickleshare==0.7.5
    # via ipython
pillow==9.5.0
    # via matplotlib
platformdirs==3.5.3
    # via jupyter-core
prompt-toolkit==3.0.38
    # via ipython
psutil==5.9.5
    # via ipykernel
pure-eval==0.2.2
    # via stack-data
pydantic==1.10.9
    # via market-prices
pygments==2.15.1
    # via ipython
pyluach==2.2.0
    # via exchange-calendars
pyparsing==3.0.9
    # via matplotlib
python-dateutil==2.8.2
    # via
    #   exchange-calendars
    #   jupyter-client
    #   matplotlib
    #   pandas
pytz==2023.3
    # via
    #   exchange-calendars
    #   market-prices
    #   pandas
# pywin32==306
    # via jupyter-core
pyzmq==25.1.0
    # via
    #   ipykernel
    #   jupyter-client
requests==2.31.0
    # via requests-futures
requests-futures==1.0.0
    # via yahooquery
six==1.16.0
    # via
    #   asttokens
    #   python-dateutil
stack-data==0.6.2
    # via ipython
toolz==0.12.0
    # via exchange-calendars
tornado==6.3.2
    # via
    #   ipykernel
    #   jupyter-client
tqdm==4.65.0
    # via yahooquery
traitlets==5.9.0
    # via
    #   bqplot
    #   comm
    #   ipykernel
    #   ipython
    #   ipywidgets
    #   jupyter-client
    #   jupyter-core
    #   market-analy (pyproject.toml)
    #   matplotlib-inline
    #   traittypes
traittypes==0.2.1
    # via bqplot
typing-extensions==4.6.3
    # via
    #   ipython
    #   pydantic
tzdata==2023.3
    # via pandas
urllib3==2.0.3
    # via requests
wcwidth==0.2.6
    # via prompt-toolkit
widgetsnbextension==4.0.7
    # via ipywidgets
yahooquery==2.3.1
    # via market-prices
zipp==3.15.0
    # via
    #   importlib-metadata
    #   importlib-resources
